Hercules Dalianis Professor

Contact

Name and title: Hercules DalianisProfessor

Mail: hercules@dsv.su.se

Workplace: Department of Computer and Systems Sciences Länk till annan webbplats.

Visiting address Nodhuset, Borgarfjordsgatan 12

Postal address Institutionen för data- och systemvetenskap164 25 Kista

Research group

Natural Language Processing Research Group

The Natural Language Processing Research Group develops, applies and evaluates NLP methods, in particular involving large language models, across various domains. We focus on topics such as privacy, explainability, and domain adaptation.

About me

Hercules Dalianis holds a master's degree (civ.ing.) in electrical engineering from KTH, Stockholm, 1984. He became a doctor of technology at KTH in 1996, and a professor of computer and systems science in 2011 at Stockholm University. Dalianis became professor emeritus in 2026.

Dalianis specialization is natural language processing of text, mainly Swedish. He has carried out research in natural language generation, automatic summary of text, information retrieval and the last 15 years in clinical text mining. The area is also popularly called Artificial Intelligence. Dalianis has published a textbook in the field entitled Clinical Text Mining: Secondary Use of Electronic Patient Records, the book is published under Open Access.

Hercules Dalianis was director of the research infrastructure Health Bank - Swedish Health Record Research Bank during 2008-2026.

Hercules homepage at DSV to read more.



Privacy-Preserving Techniques for Large Language Models

Recent breakthroughs in AI have been driven mainly by large language models. While they can be very useful, they also threaten privacy – they leak private information. This project aims to identify these risks and develop privacy-preserving techniques.

Health Bank de-identification tool and its practical use

The aim of this project is to enable the practical use of methods for de-identification of clinical free text written in Swedish. The HB Deid tool will be tested on textual patient data from Region Stockholm and not only in a laboratory environment at Stockholm University.

Federated Health: A Nordic Federated Health Data Network

Electronic health records are full of important information about diagnoses and treatments of patients. Sharing this information in a federated health data network, across hospitals in the Nordic countries, will improve the quality of health care.

DataLEASH: LEarning And SHaring under Privacy Constraints

With massive amounts of personal data being generated, privacy has become a great challenge. This project studies how machine learning can be used for sharing language models without risking to share information that may identify individuals.

Contact

Name and title: Hercules DalianisProfessor

Mail: hercules@dsv.su.se

Workplace: Department of Computer and Systems Sciences Länk till annan webbplats.

Visiting address Nodhuset, Borgarfjordsgatan 12

Postal address Institutionen för data- och systemvetenskap164 25 Kista

Research group

Natural Language Processing Research Group

The Natural Language Processing Research Group develops, applies and evaluates NLP methods, in particular involving large language models, across various domains. We focus on topics such as privacy, explainability, and domain adaptation.

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